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Light field reconstruction from images captured by focal plane sweeping, such as light field moment imaging (LFMI) and light field reconstruction with back projection (LFBP), can achieve high lateral resolution comparable to the modern…

Optics · Physics 2018-05-23 Haichao Wang , Ni Chen , Jingdan Liu , Guohai Situ

This work presents an extrinsic parameter estimation algorithm between a 3D LIDAR and a Projective Camera using a marker-less planar target, by exploiting Planar Surface Point to Plane and Planar Edge Point to back-projected Plane geometric…

Robotics · Computer Science 2020-05-20 Subodh Mishra , Gaurav Pandey , Srikanth Saripalli

Fine-detailed reconstructions are in high demand in many applications. However, most of the existing RGB-D reconstruction methods rely on pre-calculated accurate camera poses to recover the detailed surface geometry, where the…

Computer Vision and Pattern Recognition · Computer Science 2022-10-25 Lu Sang , Bjoern Haefner , Xingxing Zuo , Daniel Cremers

Photometric constraint is indispensable for self-supervised monocular depth estimation. It involves warping a source image onto a target view using estimated depth&pose, and then minimizing the difference between the warped and target…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Zhiwei Wang , Ying Zhou , Shiquan He , Ting Li , Fan Huang , Qiang Ding , Xinxia Feng , Mei Liu , Qiang Li

The multi-pixel photon counter (MPPC) is a newly developed photodetector with an excellent photon counting capability. It also has many attractive features such as small size, high gain, low operation voltage and power consumption, and…

Fringe projection profilometry (FPP) is a widely used technique for measuring object surface form and three-dimensional (3D) geometry, capable of delivering high-precision, high-resolution measurements when paired with suitable cameras and…

Optics · Physics 2026-05-19 D. Weston , X. Kong , G. S. D. Gordon , S. Piano

This paper proposes a novel framework for implicit multi-camera system calibration utilizing Gaussian Process (GP) regression. Conventional explicit calibration methods are constrained by rigid mathematical models and struggle with complex,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Ivan De Boi , Bart Ribbens , Veronika Golanova , Ursula Kapov , Simon Verspeek

Projection mapping (PM) is a technique that enhances the appearance of real-world surfaces using projected images, enabling multiple people to view augmentations simultaneously, thereby facilitating communication and collaboration. However,…

Graphics · Computer Science 2024-06-06 Masaki Takeuchi , Hiroki Kusuyama , Daisuke Iwai , Kosuke Sato

Active-stereo-based 3D shape measurement is crucial for various purposes, such as industrial inspection, reverse engineering, and medical systems, due to its strong ability to accurately acquire the shape of textureless objects. Active…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Ryo Furukawa , Kota Nishihara , Hiroshi Kawasaki

Multi-plane light converters (MPLCs) are an emerging class of optical device capable of converting a set of input spatial light modes to a new target set of output modes. This operation represents a linear optical transformation - a much…

Optics · Physics 2022-09-23 Hlib Kupianskyi , Simon A. R. Horsley , David B. Phillips

We introduce MapAnything, a unified transformer-based feed-forward model that ingests one or more images along with optional geometric inputs such as camera intrinsics, poses, depth, or partial reconstructions, and then directly regresses…

This paper presents a novel calibration algorithm for Multi-Focus Plenoptic Cameras (MFPCs) using raw images only. The design of such cameras is usually complex and relies on precise placement of optic elements. Several calibration…

Image and Video Processing · Electrical Eng. & Systems 2021-11-10 Mathieu Labussière , Céline Teulière , Frédéric Bernardin , Omar Ait-Aider

Real-time multi-camera 3D reconstruction is crucial for 3D perception, immersive interaction, and robotics. Existing methods struggle with multi-view fusion, camera extrinsic uncertainty, and scalability for large camera setups. We propose…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Chentian Sun

Camera calibration is an essential first step in setting up 3D Computer Vision systems. Commonly used parametric camera models are limited to a few degrees of freedom and thus often do not optimally fit to complex real lens distortion. In…

Computer Vision and Pattern Recognition · Computer Science 2020-06-24 Thomas Schöps , Viktor Larsson , Marc Pollefeys , Torsten Sattler

Camera calibration is a crucial step in robotics and computer vision. Accurate camera parameters are necessary to achieve robust applications. Nowadays, camera calibration process consists of adjusting a set of data to a pin-hole model,…

Computer Vision and Pattern Recognition · Computer Science 2024-02-08 Carlos Ricolfe-Viala , Alicia Esparza

Multi-view triangulation is the gold standard for 3D reconstruction from 2D correspondences given known calibration and sufficient views. However in practice, expensive multi-view setups -- involving tens sometimes hundreds of cameras --…

Computer Vision and Pattern Recognition · Computer Science 2022-10-06 Mosam Dabhi , Chaoyang Wang , Kunal Saluja , Laszlo Jeni , Ian Fasel , Simon Lucey

We propose a novel framework to automatically learn to aggregate and transform photometric measurements from multiple unstructured views into spatially distinctive and view-invariant low-level features, which are subsequently fed to a…

Computer Vision and Pattern Recognition · Computer Science 2024-12-12 Xiang Feng , Kaizhang Kang , Fan Pei , Huakeng Ding , Jinjiang You , Ping Tan , Kun Zhou , Hongzhi Wu

A Light Field (LF) camera consists of an additional two-dimensional array of micro-lenses placed between the main lens and sensor, compared to a conventional camera. The sensor pixels under each micro-lens receive light from a sub-aperture…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Suresh Nehra , Aupendu Kar , Jayanta Mukhopadhyay , Prabir Kumar Biswas

This work proposes novel hyperparameter-free losses for single view 3D reconstruction with morphable models (3DMM). We dispense with the hyperparameters used in other works by exploiting geometry, so that the shape of the object and the…

Computer Vision and Pattern Recognition · Computer Science 2019-08-28 Eduard Ramon , Guillermo Ruiz , Thomas Batard , Xavier Giró-i-Nieto

MPC (Magneto-Photonic Crystal) Optimisation is a feature-rich Windows software application designed to enable researchers to analyze the optical and magneto-optical spectral properties of multilayers containing gyrotropic constituents. A…

Applied Physics · Physics 2019-05-03 M. Vasiliev , K. Alameh , M. Nur-E-Alam
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